Karush-Kuhn-Tucker Conditions (KKT) | Necessary and Sufficient Conditions

For the book, you may refer: https://amzn.to/3aT4ino
This lecture explains the Karush-Kuhn-Tucker Conditions (KKT) which are the Necessary and Sufficient Conditions for solving the NLPP.
Other lectures:
Examples of KKT Conditions with one Constraint:    • KKT conditions with One Constraint | ...  
KKT necessary & Sufficient Conditions:    • Karush-Kuhn-Tucker Conditions (KKT) |...  
Lagrange Multiplier method with Two constraints:    • Lagrange Multiplier Method with Two E...  
Lagrange Multiplier method with One constraint:    • Lagrange Multiplier Method with one c...  
Maxima & Minima of the function:    • Maxima and Minima of the function  
Convex & Concave function:    • Convex and Concave Functions  
Hessian Matrix:    • Hessian Matrix of a function and its ...  
Quadratic form:    • Quadratic form with a matrix